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Search Training Courses

Local, instructor-led live Search training courses demonstrate through interactive discussion and hands-on practice how to use Search in your applications.

Search training is available as "onsite live training" or "remote live training". Denmark onsite live Search trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Testimonials

★★★★★

★★★★★

This was the first time I did remote training ever. It went well, better than I expected.
The pace was just right.

Greg Noseworthy - Employment and Social Development Canada.

Course: Apache Solr - Full-Text Search Server

He's (the trainer) very flexible and work along with our questions.

Bokhara Bun- Employment and Social Development Canada.

Course: Apache Solr - Full-Text Search Server

The pace was just right.

Greg Noseworthy - Employment and Social Development Canada

Course: Apache Solr - Full-Text Search Server

I was benefit from the excellent training on text analysis and running complex queries with Sold.

Siim Medijainen - VAIMO OÜ

Course: Apache Solr - Full-Text Search Server

What did you like the most about the training?:
Being one-to-one allowed me to explain what are our problems and get very tailored suggestions.

Paolo Battino Viterbo - ECMWF

Course: Drupal and Solr

I genuinely liked learning a new skill.

Aidan Thomas

Course: Implementation and Administration of Elasticsearch

The lectures were fine.

Christopher Sigouin

Course: Solr for Developers

He has patient about the questions asked by students. He has knowledge to answer the questions.

Ratnakara Pesaladinne

Course: Apache Solr - Full-Text Search Server

The way we did the practical exercises and understand the actual scenario.

Search Subcategories

Search Course Outlines

The course is intended for IT specialist that want to implement a solution that allows for elastic and efficient searching of big data sources. This course uses the newest stable version of Solr, if you wish to use older or unstable version, please contact sales before booking.

This course introduces students to the Solr platform. Through a combination of lecture, discussion and labs students will gain hands on experience configuring effective search and indexing.

The class begins with basic Solr installation and configuration then teaches the attendees the search features of Solr. Students will gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of advanced topics including spell checking, suggestions, Multicore and SolrCloud.

This instructor-led, live training is aimed at software developers who wish to build search and analytics solutions using Elasticsearch.

The training starts with a discussion of the Elasticksearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application.

Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress.

Format of the course

- Heavy emphasis on live practice. Most of the concepts are learned through samples, exercises and hands-on development.

This instructor-led, live training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

Format of the course

- Heavy emphasis on live practice- Most of the concepts are learned through exercises and hands-on implementation and deployment

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

In this instructor-led, live training, participants will learn install, configure, and manage Sphinx.

By the end of this training, participants will be able to:

- Configure Sphinx as a stand-alone server or storage engine (SphinxSE) using MySQL.- Set up Sphinx to connect to either a database or an application.- Use Sphinx's "fixed schema" as well as JSON attributes to map and filter search data

Audience

- System administrators- DevOps- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Apache SolrCloud is a distributed data processing engine that facilitates the searching and indexing of files on a distributed network.

In this instructor-led, live training, participants will learn how to set up a SolrCloud instance on Amazon AWS.

By the end of this training, participants will be able to:

- Understand SolCloud's features and how they compare to those of conventional master-slave clusters- Configure a SolCloud centralized cluster- Automate processes such as communicating with shards, adding documents to the shards, etc.- Use Zookeeper in conjunction with SolrCloud to further automate processes- Use the interface to manage error reporting- Load balance a SolrCloud installation- Configure SolrCloud for continuous processing and fail-over

Carrot2 is a Java-based open-source search results clustering engine for automatically clustering small collections of documents such as search results or document abstracts, into thematic categories. Carrot2 offers ready-to-use components for fetching search results from various sources.

In this instructor-led, live training, participants will learn how to set up and use Carrot2 to automatically organize Search results into thematic categories.